By Dmitry Goldgof, Alan C Bovik, Chang Wen Chen
This quantity of unique papers has been assembled to honour the achievements of Professor Thomas S. Huang within the region of photo processing and picture research. Professor Huang's lifetime of inquiry has spanned a couple of many years, as his paintings on imaging difficulties all started in 1960's. through the years, he has made many primary and pioneering contributions to almost each quarter of this box. Professor Huang has bought a number of awards, together with the distinguished Jack Kilby sign Processing Medal from IEEE. He has been elected to the nationwide Academy of Engineering, and named Fellow of IEEE, Fellow of OSA, Fellow of IAPR and Fellow of SPIE. Professor Huang has made basic contributions to photo processing, trend popularity and desktop imaginative and prescient, together with: layout and balance try out of multidimensional electronic filters, electronic holography; compression options for files and photographs; 3D movement and modelling, research and visualization of the human face, hand and physique, multi-modal human-computer interfaces; and multimedia databases. This quantity is meant to spotlight his contributions through exhibiting the breadth of parts within which his scholars are operating. As such, contributed chapters have been written by means of a few of his many former graduate scholars (some with Professor Huang as a co-author) and illustrate not just his contributions to imaging technology but additionally his dedication to academic endeavour. The breadth of contributions is a sign of effect of Professor Huang to the sphere of sign processing, photo processing, desktop imaginative and prescient and purposes; there are chapters on studying in picture retrieval, facial movement research, cloud movement monitoring, wavelet coding, powerful video transmission, and plenty of different issues. The appendix includes numerous reprints of Professor Huang's such a lot influential papers from the 1970's to 1990's. this article is designed for snapshot processing researchers, together with educational school, graduate scholars and researchers, in addition to pros operating in program components.
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Extra resources for Advances in Image Processing and Understanding: A Festschrift for Thomas S. Huang
Terzopoulos, and T. S. Huang, "Nonrigid motion analysis," in Handbook of PRIP: Computer Vision, vol. 2. San Diego, CA: Academic Press, 1994, pp. 405-430. 2. F. I. Parke, "Parameterized models for facial animation," IEEE Comput. Graph. andAppi, vol. 2, no. 9, pp. 61-68, Nov. 1982. 3. Y. Lee, D. Terzopoulos, and K. Waters, "Realistic modeling for facial animation," in Proc. SIGGRAPH 95, 1995, pp. 55-62. 4. P. Kalra, A. Mangili, N. M. Thalmann, and D. Thalmann, "Simulation of facial muscle actions based on rational free form deformations," in Proc.
A facial image communication system. Both geometric and deformation representations are equally important components in face modeling. We have developed a system to obtain 3D mesh model of a face from 3D CyberWare scanner (Figure 2). In this paper, however, our focus is the face deformation model, which represents the dynamics of a face. Four categories of face deformation models have been proposed in the past. They are parameterized models , physics-based muscle models , free-form deformation models, and performance-driven animation models .
1996. A revised version appeared in J. Weng, "Learning in Computer Vision and Beyond: Development," in C. W. Chen and Y. Q. ), Visual Communication and Image Processing, Marcel Dekker Publisher, New York, NY, 1999. J. Weng and S. Chen. Vision-guided navigation using SHOSLIF. Neural Networks, 11:1511-1529, 1998. J. Weng, J. McClelland, A. Pentland, O. Sporns, I. Stockman, M. Sur, E. Thelen, "Autonomous Mental Development by Robots and Animals," Science, 291:599-600, 2001. com THOMAS S. edu Capturing real facial motions from videos enables automatic creation of dynamic models for facial animation.
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